Overview

Brought to you by YData

Dataset statistics

Number of variables	23
Number of observations	3699
Missing cells	6761
Missing cells (%)	7.9%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.2 MiB
Average record size in memory	631.5 B

Variable types

Categorical	10
Text	3
Numeric	10

Alerts

`area` is highly overall correlated with `bathroom` and 5 other fields	High correlation
`bathroom` is highly overall correlated with `area` and 4 other fields	High correlation
`bedRoom` is highly overall correlated with `area` and 5 other fields	High correlation
`built_up_area` is highly overall correlated with `area` and 4 other fields	High correlation
`carpet_area` is highly overall correlated with `area` and 5 other fields	High correlation
`facing` is highly overall correlated with `built_up_area`	High correlation
`price` is highly overall correlated with `area` and 7 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`property_type` is highly overall correlated with `bedRoom` and 2 other fields	High correlation
`servant room` is highly overall correlated with `super_built_up_area`	High correlation
`super_built_up_area` is highly overall correlated with `area` and 7 other fields	High correlation
`store room` is highly imbalanced (55.6%)	Imbalance
`facing` has 1053 (28.5%) missing values	Missing
`super_built_up_area` has 1823 (49.3%) missing values	Missing
`built_up_area` has 1992 (53.9%) missing values	Missing
`carpet_area` has 1821 (49.2%) missing values	Missing
`area` is highly skewed (γ1 = 29.80647345)	Skewed
`built_up_area` is highly skewed (γ1 = 40.84413146)	Skewed
`carpet_area` is highly skewed (γ1 = 24.37203746)	Skewed
`floorNum` has 130 (3.5%) zeros	Zeros
`luxury_score` has 470 (12.7%) zeros	Zeros

Reproduction

Analysis started	2025-04-04 06:21:11.044156
Analysis finished	2025-04-04 06:21:26.530576
Duration	15.49 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

property_type
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	250.1 KiB

flat	2824
house	875

Length

Max length	5
Median length	4
Mean length	4.2365504
Min length	4

Characters and Unicode

Total characters	15671
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2824	76.3%
house	875	23.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2824	76.3%
house	875	23.7%

Most occurring characters

Value	Count	Frequency (%)
f	2824	18.0%
l	2824	18.0%
a	2824	18.0%
t	2824	18.0%
h	875	5.6%
o	875	5.6%
u	875	5.6%
s	875	5.6%
e	875	5.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15671	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2824	18.0%
l	2824	18.0%
a	2824	18.0%
t	2824	18.0%
h	875	5.6%
o	875	5.6%
u	875	5.6%
s	875	5.6%
e	875	5.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15671	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2824	18.0%
l	2824	18.0%
a	2824	18.0%
t	2824	18.0%
h	875	5.6%
o	875	5.6%
u	875	5.6%
s	875	5.6%
e	875	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15671	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2824	18.0%
l	2824	18.0%
a	2824	18.0%
t	2824	18.0%
h	875	5.6%
o	875	5.6%
u	875	5.6%
s	875	5.6%
e	875	5.6%

society
Text

Distinct	680
Distinct (%)	18.4%
Missing	1
Missing (%)	< 0.1%
Memory size	295.6 KiB

Length

Max length	49
Median length	39
Mean length	16.846133
Min length	1

Characters and Unicode

Total characters	62297
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	310 ?
Unique (%)	8.4%

Sample

1st row	ambience lagoon
2nd row	capital residences 360
3rd row	umang winter hills
4th row	rof ananda
5th row	shree vardhman flora

Value	Count	Frequency (%)
independent	506	5.2%
the	350	3.6%
dlf	220	2.3%
park	209	2.2%
city	166	1.7%
emaar	155	1.6%
global	153	1.6%
m3m	152	1.6%
signature	150	1.5%
heights	134	1.4%
Other values (784)	7513	77.4%

Most occurring characters

Value	Count	Frequency (%)
e	6768	10.9%
	6012	9.7%
a	5874	9.4%
n	4215	6.8%
r	4184	6.7%
i	3849	6.2%
t	3739	6.0%
s	3482	5.6%
l	2943	4.7%
o	2759	4.4%
Other values (31)	18472	29.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55740	89.5%
Space Separator	6012	9.7%
Decimal Number	527	0.8%
Other Punctuation	10	< 0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6768	12.1%
a	5874	10.5%
n	4215	7.6%
r	4184	7.5%
i	3849	6.9%
t	3739	6.7%
s	3482	6.2%
l	2943	5.3%
o	2759	4.9%
d	2521	4.5%
Other values (16)	15406	27.6%

Decimal Number

Value	Count	Frequency (%)
3	207	39.3%
2	82	15.6%
1	75	14.2%
6	56	10.6%
8	32	6.1%
4	19	3.6%
5	17	3.2%
0	13	2.5%
9	13	2.5%
7	13	2.5%

Other Punctuation

Value	Count	Frequency (%)
,	7	70.0%
/	2	20.0%
.	1	10.0%

Space Separator

Value	Count	Frequency (%)
	6012	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	55740	89.5%
Common	6557	10.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6768	12.1%
a	5874	10.5%
n	4215	7.6%
r	4184	7.5%
i	3849	6.9%
t	3739	6.7%
s	3482	6.2%
l	2943	5.3%
o	2759	4.9%
d	2521	4.5%
Other values (16)	15406	27.6%

Common

Value	Count	Frequency (%)
	6012	91.7%
3	207	3.2%
2	82	1.3%
1	75	1.1%
6	56	0.9%
8	32	0.5%
4	19	0.3%
5	17	0.3%
0	13	0.2%
9	13	0.2%
Other values (5)	31	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62297	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6768	10.9%
	6012	9.7%
a	5874	9.4%
n	4215	6.8%
r	4184	6.7%
i	3849	6.2%
t	3739	6.0%
s	3482	5.6%
l	2943	4.7%
o	2759	4.4%
Other values (31)	18472	29.7%

sector
Text

Distinct	98
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Memory size	266.9 KiB

Length

Max length	11
Median length	9
Mean length	8.8934847
Min length	5

Characters and Unicode

Total characters	32897
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	sector 24
2nd row	sector 70
3rd row	sector 77
4th row	sector 95
5th row	sector 90

Value	Count	Frequency (%)
sector	3473	48.3%
sohna	166	2.3%
37	115	1.6%
85	108	1.5%
102	107	1.5%
70	104	1.4%
92	100	1.4%
69	93	1.3%
90	89	1.2%
65	87	1.2%
Other values (90)	2748	38.2%

Most occurring characters

Value	Count	Frequency (%)
s	3673	11.2%
o	3639	11.1%
r	3533	10.7%
e	3507	10.7%
	3491	10.6%
c	3473	10.6%
t	3473	10.6%
1	1080	3.3%
0	801	2.4%
8	778	2.4%
Other values (18)	5449	16.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	22134	67.3%
Decimal Number	7272	22.1%
Space Separator	3491	10.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	3673	16.6%
o	3639	16.4%
r	3533	16.0%
e	3507	15.8%
c	3473	15.7%
t	3473	15.7%
a	304	1.4%
n	200	0.9%
h	184	0.8%
m	34	0.2%
Other values (7)	114	0.5%

Decimal Number

Value	Count	Frequency (%)
1	1080	14.9%
0	801	11.0%
8	778	10.7%
9	764	10.5%
6	742	10.2%
7	686	9.4%
2	680	9.4%
3	632	8.7%
5	623	8.6%
4	486	6.7%

Space Separator

Value	Count	Frequency (%)
	3491	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	22134	67.3%
Common	10763	32.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	3673	16.6%
o	3639	16.4%
r	3533	16.0%
e	3507	15.8%
c	3473	15.7%
t	3473	15.7%
a	304	1.4%
n	200	0.9%
h	184	0.8%
m	34	0.2%
Other values (7)	114	0.5%

Common

Value	Count	Frequency (%)
	3491	32.4%
1	1080	10.0%
0	801	7.4%
8	778	7.2%
9	764	7.1%
6	742	6.9%
7	686	6.4%
2	680	6.3%
3	632	5.9%
5	623	5.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	32897	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	3673	11.2%
o	3639	11.1%
r	3533	10.7%
e	3507	10.7%
	3491	10.6%
c	3473	10.6%
t	3473	10.6%
1	1080	3.3%
0	801	2.4%
8	778	2.4%
Other values (18)	5449	16.6%

price
Real number (ℝ)

High correlation

Distinct	473
Distinct (%)	12.8%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.5300081

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.8 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.515
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.9782314
Coefficient of variation (CV)	1.1771628
Kurtosis	14.913075
Mean	2.5300081
Median Absolute Deviation (MAD)	0.725
Skewness	3.2757867
Sum	9315.49
Variance	8.8698625
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.2	64	1.7%
1.5	64	1.7%
0.9	63	1.7%
1.1	62	1.7%
1.4	60	1.6%
1.3	58	1.6%
0.95	54	1.5%
2	53	1.4%
1.6	48	1.3%
Other values (463)	3076	83.2%

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	9	0.2%
0.23	2	0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

High correlation

Distinct	2662
Distinct (%)	72.3%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13931.311

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.8 KiB

Quantile statistics

Minimum	4
5-th percentile	4706.45
Q1	6812.25
median	9013.5
Q3	13877.25
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7065

Descriptive statistics

Standard deviation	23315.369
Coefficient of variation (CV)	1.6735948
Kurtosis	182.72286
Mean	13931.311
Median Absolute Deviation (MAD)	2796.5
Skewness	11.285294
Sum	51295086
Variance	5.4360645 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	18	0.5%
12500	14	0.4%
11111	13	0.4%
22222	13	0.4%
6666	13	0.4%
7500	12	0.3%
8333	12	0.3%
33333	11	0.3%
Other values (2652)	3530	95.4%
(Missing)	17	0.5%

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

High correlation Skewed

Distinct	1767
Distinct (%)	48.0%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2886.8874

Minimum	45.000138
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.8 KiB

Quantile statistics

Minimum	45.000138
5-th percentile	510.2173
Q1	1225
median	1728.0258
Q3	2300
95-th percentile	4277.55
Maximum	875000
Range	874955
Interquartile range (IQR)	1075

Descriptive statistics

Standard deviation	23101.809
Coefficient of variation (CV)	8.0023244
Kurtosis	947.11065
Mean	2886.8874
Median Absolute Deviation (MAD)	530.02585
Skewness	29.806473
Sum	10629519
Variance	5.336936 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	52	1.4%
1950	42	1.1%
2000	33	0.9%
1350	29	0.8%
1800	22	0.6%
2400	22	0.6%
2150	21	0.6%
1900	20	0.5%
1300	20	0.5%
1550	19	0.5%
Other values (1757)	3402	92.0%

Value	Count	Frequency (%)
45.00013846	1	< 0.1%
50	4	0.1%
55.000055	1	< 0.1%
56.00016291	1	< 0.1%
57.0000855	1	< 0.1%
60.00006486	1	< 0.1%
60.00016552	1	< 0.1%
61	1	< 0.1%
67.00012707	1	< 0.1%
67.00035471	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517.2414	1	< 0.1%
98977.94513	1	< 0.1%
82781.45695	1	< 0.1%
65517	2	0.1%
65261.04418	1	< 0.1%
58228	1	< 0.1%

areaWithType
Text

Distinct	2367
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Memory size	430.3 KiB

Length

Max length	124
Median length	119
Mean length	54.112733
Min length	12

Characters and Unicode

Total characters	200163
Distinct characters	32
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1861 ?
Unique (%)	50.3%

Sample

1st row	super built up area 3200(297.29 sq.m.)carpet area: 3156 sq.ft. (293.2 sq.m.)
2nd row	super built up area 1450(134.71 sq.m.)built up area: 1400 sq.ft. (130.06 sq.m.)carpet area: 1000 sq.ft. (92.9 sq.m.)
3rd row	super built up area 1342(124.68 sq.m.)carpet area: 810 sq.ft. (75.25 sq.m.)
4th row	carpet area: 366.08 (34.01 sq.m.)
5th row	super built up area 1950(181.16 sq.m.)

Value	Count	Frequency (%)
area	5598	18.5%
sq.m	3677	12.2%
up	3024	10.0%
built	2320	7.7%
super	1876	6.2%
sq.ft	1754	5.8%
sq.m.)carpet	1188	3.9%
sq.m.)built	702	2.3%
plot	696	2.3%
carpet	686	2.3%
Other values (2858)	8734	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26556	13.3%
.	20471	10.2%
a	13210	6.6%
r	9488	4.7%
s	9471	4.7%
e	9352	4.7%
1	9231	4.6%
u	7924	4.0%
p	7474	3.7%
q	7459	3.7%
Other values (22)	79527	39.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	91667	45.8%
Decimal Number	47323	23.6%
Space Separator	26556	13.3%
Other Punctuation	23497	11.7%
Close Punctuation	5560	2.8%
Open Punctuation	5560	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13210	14.4%
r	9488	10.4%
s	9471	10.3%
e	9352	10.2%
u	7924	8.6%
p	7474	8.2%
q	7459	8.1%
t	7352	8.0%
m	5569	6.1%
l	3720	4.1%
Other values (7)	10648	11.6%

Decimal Number

Value	Count	Frequency (%)
1	9231	19.5%
0	6658	14.1%
2	5700	12.0%
5	4736	10.0%
3	3978	8.4%
4	3738	7.9%
6	3694	7.8%
7	3262	6.9%
8	3174	6.7%
9	3152	6.7%

Other Punctuation

Value	Count	Frequency (%)
.	20471	87.1%
:	3026	12.9%

Space Separator

Value	Count	Frequency (%)
	26556	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5560	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5560	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108496	54.2%
Latin	91667	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13210	14.4%
r	9488	10.4%
s	9471	10.3%
e	9352	10.2%
u	7924	8.6%
p	7474	8.2%
q	7459	8.1%
t	7352	8.0%
m	5569	6.1%
l	3720	4.1%
Other values (7)	10648	11.6%

Common

Value	Count	Frequency (%)
	26556	24.5%
.	20471	18.9%
1	9231	8.5%
0	6658	6.1%
2	5700	5.3%
)	5560	5.1%
(	5560	5.1%
5	4736	4.4%
3	3978	3.7%
4	3738	3.4%
Other values (5)	16308	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	200163	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26556	13.3%
.	20471	10.2%
a	13210	6.6%
r	9488	4.7%
s	9471	4.7%
e	9352	4.7%
1	9231	4.6%
u	7924	4.0%
p	7474	3.7%
q	7459	3.7%
Other values (22)	79527	39.7%

bedRoom
Real number (ℝ)

High correlation

Distinct	20
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.368478

Minimum	1
Maximum	36
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.8 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	36
Range	35
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9706311
Coefficient of variation (CV)	0.58502122
Kurtosis	35.447912
Mean	3.368478
Median Absolute Deviation (MAD)	1
Skewness	4.3110255
Sum	12460
Variance	3.8833868
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
3	1501	40.6%
2	947	25.6%
4	663	17.9%
5	211	5.7%
1	127	3.4%
6	78	2.1%
9	41	1.1%
8	30	0.8%
7	28	0.8%
12	28	0.8%
Other values (10)	45	1.2%

Value	Count	Frequency (%)
1	127	3.4%
2	947	25.6%
3	1501	40.6%
4	663	17.9%
5	211	5.7%
6	78	2.1%
7	28	0.8%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
36	1	< 0.1%
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%

bathroom
Real number (ℝ)

High correlation

Distinct	20
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4298459

Minimum	1
Maximum	36
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.8 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	36
Range	35
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.018743
Coefficient of variation (CV)	0.58858124
Kurtosis	33.034675
Mean	3.4298459
Median Absolute Deviation (MAD)	1
Skewness	4.0305111
Sum	12687
Variance	4.0753232
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
3	1081	29.2%
2	1054	28.5%
4	824	22.3%
5	294	7.9%
1	160	4.3%
6	118	3.2%
7	41	1.1%
9	41	1.1%
8	25	0.7%
12	22	0.6%
Other values (10)	39	1.1%

Value	Count	Frequency (%)
1	160	4.3%
2	1054	28.5%
3	1081	29.2%
4	824	22.3%
5	294	7.9%
6	118	3.2%
7	41	1.1%
8	25	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
36	1	< 0.1%
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%

balcony
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	239.6 KiB

3+	1176
3	1077
2	891
1	373
0	182

Length

Max length	2
Median length	1
Mean length	1.3179238
Min length	1

Characters and Unicode

Total characters	4875
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3+
2nd row	3
3rd row	2
4th row	1
5th row	3

Common Values

Value	Count	Frequency (%)
3+	1176	31.8%
3	1077	29.1%
2	891	24.1%
1	373	10.1%
0	182	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2253	60.9%
2	891	24.1%
1	373	10.1%
0	182	4.9%

Most occurring characters

Value	Count	Frequency (%)
3	2253	46.2%
+	1176	24.1%
2	891	18.3%
1	373	7.7%
0	182	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3699	75.9%
Math Symbol	1176	24.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2253	60.9%
2	891	24.1%
1	373	10.1%
0	182	4.9%

Math Symbol

Value	Count	Frequency (%)
+	1176	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4875	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2253	46.2%
+	1176	24.1%
2	891	18.3%
1	373	7.7%
0	182	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4875	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2253	46.2%
+	1176	24.1%
2	891	18.3%
1	373	7.7%
0	182	3.7%

floorNum
Real number (ℝ)

Zeros

Distinct	43
Distinct (%)	1.2%
Missing	20
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.6985594

Minimum	-1
Maximum	45
Zeros	130
Zeros (%)	3.5%
Negative	3
Negative (%)	0.1%
Memory size	57.8 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	45
Range	46
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.9304631
Coefficient of variation (CV)	0.8853341
Kurtosis	4.0100842
Mean	6.6985594
Median Absolute Deviation (MAD)	3
Skewness	1.640777
Sum	24644
Variance	35.170392
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=43)

Value	Count	Frequency (%)
3	506	13.7%
2	502	13.6%
1	364	9.8%
4	318	8.6%
8	195	5.3%
6	183	4.9%
10	177	4.8%
7	176	4.8%
5	170	4.6%
9	161	4.4%
Other values (33)	927	25.1%

Value	Count	Frequency (%)
-1	3	0.1%
0	130	3.5%
1	364	9.8%
2	502	13.6%
3	506	13.7%
4	318	8.6%
5	170	4.6%
6	183	4.9%
7	176	4.8%
8	195	5.3%

Value	Count	Frequency (%)
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	3	0.1%
32	2	0.1%

facing
Categorical

High correlation Missing

Distinct	8
Distinct (%)	0.3%
Missing	1053
Missing (%)	28.5%
Memory size	259.7 KiB

East	630
North-East	624
North	389
West	249
South	232
Other values (3)	522

Length

Max length	10
Median length	5
Mean length	6.8333333
Min length	4

Characters and Unicode

Total characters	18081
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	North-East
2nd row	East
3rd row	North-West
4th row	West
5th row	East

Common Values

Value	Count	Frequency (%)
East	630	17.0%
North-East	624	16.9%
North	389	10.5%
West	249	6.7%
South	232	6.3%
North-West	194	5.2%
South-East	174	4.7%
South-West	154	4.2%
(Missing)	1053	28.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
east	630	23.8%
north-east	624	23.6%
north	389	14.7%
west	249	9.4%
south	232	8.8%
north-west	194	7.3%
south-east	174	6.6%
south-west	154	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3792	21.0%
s	2025	11.2%
o	1767	9.8%
h	1767	9.8%
E	1428	7.9%
a	1428	7.9%
N	1207	6.7%
r	1207	6.7%
-	1146	6.3%
W	597	3.3%
Other values (3)	1717	9.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13143	72.7%
Uppercase Letter	3792	21.0%
Dash Punctuation	1146	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3792	28.9%
s	2025	15.4%
o	1767	13.4%
h	1767	13.4%
a	1428	10.9%
r	1207	9.2%
e	597	4.5%
u	560	4.3%

Uppercase Letter

Value	Count	Frequency (%)
E	1428	37.7%
N	1207	31.8%
W	597	15.7%
S	560	14.8%

Dash Punctuation

Value	Count	Frequency (%)
-	1146	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16935	93.7%
Common	1146	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3792	22.4%
s	2025	12.0%
o	1767	10.4%
h	1767	10.4%
E	1428	8.4%
a	1428	8.4%
N	1207	7.1%
r	1207	7.1%
W	597	3.5%
e	597	3.5%
Other values (2)	1120	6.6%

Common

Value	Count	Frequency (%)
-	1146	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18081	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3792	21.0%
s	2025	11.2%
o	1767	9.8%
h	1767	9.8%
E	1428	7.9%
a	1428	7.9%
N	1207	6.7%
r	1207	6.7%
-	1146	6.3%
W	597	3.3%
Other values (3)	1717	9.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	283.1 KiB

Relatively New	1651
New Property	594
Moderately Old	569
Undefined	310
Old Property	309

Length

Max length	18
Median length	14
Mean length	13.380373
Min length	9

Characters and Unicode

Total characters	49494
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Old Property
2nd row	New Property
3rd row	Relatively New
4th row	Relatively New
5th row	Relatively New

Common Values

Value	Count	Frequency (%)
Relatively New	1651	44.6%
New Property	594	16.1%
Moderately Old	569	15.4%
Undefined	310	8.4%
Old Property	309	8.4%
Under Construction	266	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2245	31.7%
relatively	1651	23.3%
property	903	12.7%
old	878	12.4%
moderately	569	8.0%
undefined	310	4.4%
under	266	3.8%
construction	266	3.8%

Most occurring characters

Value	Count	Frequency (%)
e	8474	17.1%
l	4749	9.6%
t	3655	7.4%
	3389	6.8%
y	3123	6.3%
r	2907	5.9%
d	2333	4.7%
N	2245	4.5%
w	2245	4.5%
i	2227	4.5%
Other values (15)	14147	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	39017	78.8%
Uppercase Letter	7088	14.3%
Space Separator	3389	6.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8474	21.7%
l	4749	12.2%
t	3655	9.4%
y	3123	8.0%
r	2907	7.5%
d	2333	6.0%
w	2245	5.8%
i	2227	5.7%
a	2220	5.7%
o	2004	5.1%
Other values (7)	5080	13.0%

Uppercase Letter

Value	Count	Frequency (%)
N	2245	31.7%
R	1651	23.3%
P	903	12.7%
O	878	12.4%
U	576	8.1%
M	569	8.0%
C	266	3.8%

Space Separator

Value	Count	Frequency (%)
	3389	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	46105	93.2%
Common	3389	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8474	18.4%
l	4749	10.3%
t	3655	7.9%
y	3123	6.8%
r	2907	6.3%
d	2333	5.1%
N	2245	4.9%
w	2245	4.9%
i	2227	4.8%
a	2220	4.8%
Other values (14)	11927	25.9%

Common

Value	Count	Frequency (%)
	3389	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49494	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8474	17.1%
l	4749	9.6%
t	3655	7.4%
	3389	6.8%
y	3123	6.3%
r	2907	5.9%
d	2333	4.7%
N	2245	4.5%
w	2245	4.5%
i	2227	4.5%
Other values (15)	14147	28.6%

super_built_up_area
Real number (ℝ)

High correlation Missing

Distinct	594
Distinct (%)	31.7%
Missing	1823
Missing (%)	49.3%
Infinite	0
Infinite (%)	0.0%
Mean	1924.5232

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.8 KiB

Quantile statistics

Minimum	89
5-th percentile	762.75
Q1	1478.75
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	736.25

Descriptive statistics

Standard deviation	764.59476
Coefficient of variation (CV)	0.39729049
Kurtosis	10.324475
Mean	1924.5232
Median Absolute Deviation (MAD)	372
Skewness	1.8323647
Sum	3610405.5
Variance	584605.15
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	37	1.0%
1950	37	1.0%
2000	25	0.7%
1578	25	0.7%
1640	22	0.6%
2150	22	0.6%
2408	19	0.5%
1900	19	0.5%
1930	18	0.5%
1350	17	0.5%
Other values (584)	1635	44.2%
(Missing)	1823	49.3%

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	648
Distinct (%)	38.0%
Missing	1992
Missing (%)	53.9%
Infinite	0
Infinite (%)	0.0%
Mean	2383.3548

Minimum	14
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.8 KiB

Quantile statistics

Minimum	14
5-th percentile	240.3
Q1	1100
median	1650
Q3	2400
95-th percentile	4694
Maximum	737147
Range	737133
Interquartile range (IQR)	1300

Descriptive statistics

Standard deviation	17863.018
Coefficient of variation (CV)	7.4949049
Kurtosis	1680.9102
Mean	2383.3548
Median Absolute Deviation (MAD)	650
Skewness	40.844131
Sum	4068386.6
Variance	3.190874 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	38	1.0%
1900	34	0.9%
1350	33	0.9%
2700	33	0.9%
900	31	0.8%
1600	26	0.7%
2000	24	0.6%
1300	24	0.6%
1700	23	0.6%
Other values (638)	1400	37.8%
(Missing)	1992	53.9%

Value	Count	Frequency (%)
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
45	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
56.6	1	< 0.1%
57	1	< 0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
26000	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8067.8	1	< 0.1%
8000	1	< 0.1%

carpet_area
Real number (ℝ)

High correlation Missing Skewed

Distinct	735
Distinct (%)	39.1%
Missing	1821
Missing (%)	49.2%
Infinite	0
Infinite (%)	0.0%
Mean	2524.9915

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.8 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	835.47
median	1300
Q3	1788.75
95-th percentile	2957.5
Maximum	607936
Range	607921
Interquartile range (IQR)	953.28

Descriptive statistics

Standard deviation	22763.57
Coefficient of variation (CV)	9.0153057
Kurtosis	606.47584
Mean	2524.9915
Median Absolute Deviation (MAD)	475
Skewness	24.372037
Sum	4741934
Variance	5.1818013 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1600	35	0.9%
1800	35	0.9%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1000	22	0.6%
1450	22	0.6%
Other values (725)	1584	42.8%
(Missing)	1821	49.2%

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	238.4 KiB

0	2990
1	709

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3699
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2990	80.8%
1	709	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2990	80.8%
1	709	19.2%

Most occurring characters

Value	Count	Frequency (%)
0	2990	80.8%
1	709	19.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3699	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2990	80.8%
1	709	19.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3699	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2990	80.8%
1	709	19.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3699	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2990	80.8%
1	709	19.2%

servant room
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	238.4 KiB

0	2365
1	1334

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3699
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2365	63.9%
1	1334	36.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2365	63.9%
1	1334	36.1%

Most occurring characters

Value	Count	Frequency (%)
0	2365	63.9%
1	1334	36.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3699	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2365	63.9%
1	1334	36.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3699	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2365	63.9%
1	1334	36.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3699	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2365	63.9%
1	1334	36.1%

store room
Categorical

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	238.4 KiB

0	3358
1	341

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3699
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3358	90.8%
1	341	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3358	90.8%
1	341	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3358	90.8%
1	341	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3699	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3358	90.8%
1	341	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3699	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3358	90.8%
1	341	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3699	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3358	90.8%
1	341	9.2%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	238.4 KiB

0	3039
1	660

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3699
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3039	82.2%
1	660	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3039	82.2%
1	660	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	3039	82.2%
1	660	17.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3699	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3039	82.2%
1	660	17.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3699	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3039	82.2%
1	660	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3699	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3039	82.2%
1	660	17.8%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	238.4 KiB

0	3291
1	408

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3699
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3291	89.0%
1	408	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3291	89.0%
1	408	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3291	89.0%
1	408	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3699	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3291	89.0%
1	408	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3699	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3291	89.0%
1	408	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3699	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3291	89.0%
1	408	11.0%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	238.4 KiB

0	2703
1	798
2	198

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3699
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2703	73.1%
1	798	21.6%
2	198	5.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2703	73.1%
1	798	21.6%
2	198	5.4%

Most occurring characters

Value	Count	Frequency (%)
0	2703	73.1%
1	798	21.6%
2	198	5.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3699	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2703	73.1%
1	798	21.6%
2	198	5.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	3699	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2703	73.1%
1	798	21.6%
2	198	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3699	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2703	73.1%
1	798	21.6%
2	198	5.4%

luxury_score
Real number (ℝ)

Zeros

Distinct	161
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.206542

Minimum	0
Maximum	174
Zeros	470
Zeros (%)	12.7%
Negative	0
Negative (%)	0.0%
Memory size	57.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	58
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.098789
Coefficient of variation (CV)	0.74570099
Kurtosis	-0.87731394
Mean	71.206542
Median Absolute Deviation (MAD)	37
Skewness	0.46428382
Sum	263393
Variance	2819.4814
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	470	12.7%
49	349	9.4%
174	195	5.3%
44	60	1.6%
38	55	1.5%
165	55	1.5%
72	52	1.4%
60	47	1.3%
15	45	1.2%
37	45	1.2%
Other values (151)	2326	62.9%

Value	Count	Frequency (%)
0	470	12.7%
5	6	0.2%
6	6	0.2%
7	42	1.1%
8	31	0.8%
9	10	0.3%
12	7	0.2%
13	10	0.3%
14	12	0.3%
15	45	1.2%

Value	Count	Frequency (%)
174	195	5.3%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	28	0.8%
159	23	0.6%
158	34	0.9%

Interactions

Correlations

	agePossession	area	balcony	bathroom	bedRoom	built_up_area	carpet_area	facing	floorNum	furnishing_type	luxury_score	others	pooja room	price	price_per_sqft	property_type	servant room	store room	study room	super_built_up_area
agePossession	1.000	0.000	0.272	0.079	0.118	0.000	0.000	0.091	0.138	0.185	0.255	0.109	0.187	0.101	0.059	0.384	0.285	0.144	0.141	0.086
area	0.000	1.000	0.010	0.685	0.621	0.838	0.802	0.022	0.109	0.042	0.262	0.042	0.037	0.744	0.203	0.028	0.015	0.038	0.018	0.948
balcony	0.272	0.010	1.000	0.163	0.115	0.000	0.025	0.019	0.097	0.200	0.223	0.081	0.196	0.137	0.033	0.211	0.441	0.145	0.184	0.307
bathroom	0.079	0.685	0.163	1.000	0.861	0.466	0.599	0.035	-0.010	0.197	0.182	0.072	0.265	0.720	0.411	0.443	0.311	0.173	0.160	0.819
bedRoom	0.118	0.621	0.115	0.861	1.000	0.378	0.568	0.038	-0.110	0.168	0.058	0.071	0.268	0.680	0.417	0.620	0.141	0.200	0.166	0.800
built_up_area	0.000	0.838	0.000	0.466	0.378	1.000	0.969	1.000	0.079	0.089	0.294	0.000	0.000	0.604	0.124	0.000	0.000	0.000	0.000	0.926
carpet_area	0.000	0.802	0.025	0.599	0.568	0.969	1.000	0.000	0.156	0.000	0.240	0.016	0.000	0.613	0.137	0.000	0.000	0.000	0.004	0.894
facing	0.091	0.022	0.019	0.035	0.038	1.000	0.000	1.000	0.000	0.065	0.065	0.000	0.024	0.021	0.000	0.094	0.034	0.035	0.000	0.000
floorNum	0.138	0.109	0.097	-0.010	-0.110	0.079	0.156	0.000	1.000	0.044	0.243	0.017	0.088	-0.002	-0.122	0.491	0.103	0.113	0.057	0.153
furnishing_type	0.185	0.042	0.200	0.197	0.168	0.089	0.000	0.065	0.044	1.000	0.219	0.066	0.221	0.219	0.017	0.142	0.301	0.155	0.148	0.171
luxury_score	0.255	0.262	0.223	0.182	0.058	0.294	0.240	0.065	0.243	0.219	1.000	0.176	0.192	0.219	0.056	0.332	0.347	0.228	0.185	0.223
others	0.109	0.042	0.081	0.072	0.071	0.000	0.016	0.000	0.017	0.066	0.176	1.000	0.034	0.034	0.035	0.026	0.000	0.106	0.032	0.085
pooja room	0.187	0.037	0.196	0.265	0.268	0.000	0.000	0.024	0.088	0.221	0.192	0.034	1.000	0.332	0.036	0.251	0.253	0.304	0.315	0.157
price	0.101	0.744	0.137	0.720	0.680	0.604	0.613	0.021	-0.002	0.219	0.219	0.034	0.332	1.000	0.742	0.538	0.370	0.301	0.244	0.773
price_per_sqft	0.059	0.203	0.033	0.411	0.417	0.124	0.137	0.000	-0.122	0.017	0.056	0.035	0.036	0.742	1.000	0.203	0.042	0.000	0.031	0.288
property_type	0.384	0.028	0.211	0.443	0.620	0.000	0.000	0.094	0.491	0.142	0.332	0.026	0.251	0.538	0.203	1.000	0.065	0.241	0.128	1.000
servant room	0.285	0.015	0.441	0.311	0.141	0.000	0.000	0.034	0.103	0.301	0.347	0.000	0.253	0.370	0.042	0.065	1.000	0.160	0.186	0.584
store room	0.144	0.038	0.145	0.173	0.200	0.000	0.000	0.035	0.113	0.155	0.228	0.106	0.304	0.301	0.000	0.241	0.160	1.000	0.225	0.046
study room	0.141	0.018	0.184	0.160	0.166	0.000	0.004	0.000	0.057	0.148	0.185	0.032	0.315	0.244	0.031	0.128	0.186	0.225	1.000	0.121
super_built_up_area	0.086	0.948	0.307	0.819	0.800	0.926	0.894	0.000	0.153	0.171	0.223	0.085	0.157	0.773	0.288	1.000	0.584	0.046	0.121	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	study room	servant room	store room	pooja room	others	furnishing_type	luxury_score
0	flat	ambience lagoon	sector 24	4.25	13281.0	3200.0	super built up area 3200(297.29 sq.m.)carpet area: 3156 sq.ft. (293.2 sq.m.)	3	4	3+	3.0	North-East	Old Property	3200.0	NaN	3156.000000	0	1	0	1	0	1	143
1	flat	capital residences 360	sector 70	1.18	8137.0	1450.0	super built up area 1450(134.71 sq.m.)built up area: 1400 sq.ft. (130.06 sq.m.)carpet area: 1000 sq.ft. (92.9 sq.m.)	2	2	3	7.0	East	New Property	1450.0	1400.0	1000.000000	0	0	0	1	0	0	140
2	flat	umang winter hills	sector 77	0.71	5305.0	1338.0	super built up area 1342(124.68 sq.m.)carpet area: 810 sq.ft. (75.25 sq.m.)	2	2	2	6.0	North-West	Relatively New	1342.0	NaN	810.000000	1	0	0	0	0	0	108
3	flat	rof ananda	sector 95	0.20	5463.0	366.0	carpet area: 366.08 (34.01 sq.m.)	1	1	1	10.0	West	Relatively New	NaN	NaN	366.080239	0	0	0	0	0	0	82
4	flat	shree vardhman flora	sector 90	0.90	4615.0	1950.0	super built up area 1950(181.16 sq.m.)	3	4	3	4.0	East	Relatively New	1950.0	NaN	NaN	0	1	0	0	0	0	165
5	flat	pareena mi casa	sector 68	1.10	9020.0	1220.0	super built up area 1245(115.66 sq.m.)carpet area: 1225 sq.ft. (113.81 sq.m.)	2	2	3	13.0	East	New Property	1245.0	NaN	1225.000000	0	0	0	0	0	0	106
6	flat	sahara grace	sector 28	5.50	14612.0	3764.0	super built up area 3764(349.69 sq.m.)	4	5	3+	5.0	East	Moderately Old	3764.0	NaN	NaN	0	1	0	0	1	1	8
7	flat	sidhartha ncr greens	sector 95	0.96	6201.0	1548.0	carpet area: 1548 (143.81 sq.m.)	3	3	3	8.0	NaN	New Property	NaN	NaN	1548.000000	0	0	1	1	0	0	8
8	flat	ireo victory valley	sector 67	2.95	12110.0	2436.0	super built up area 2436(226.31 sq.m.)built up area: 2236 sq.ft. (207.73 sq.m.)carpet area: 2036 sq.ft. (189.15 sq.m.)	3	3	3+	14.0	South	Moderately Old	2436.0	2236.0	2036.000000	0	1	0	1	0	1	165
9	flat	shyam apartment	sector 5	0.26	3714.0	700.0	super built up area 700(65.03 sq.m.)carpet area: 530 sq.ft. (49.24 sq.m.)	2	1	2	2.0	NaN	Relatively New	700.0	NaN	530.000000	0	0	0	0	0	0	0

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	servant room	pooja room	others	furnishing_type	luxury_score
3814	flat	sare crescent parc	sector 92	0.80	4210.0	1900.0	super built up area 1900(176.52 sq.m.)	4	3	2	10.0	East	Relatively New	1900.0	NaN	NaN	0	0	1	0	37
3815	flat	hsiidc sidco shivalik apartments	manesar	0.85	5102.0	1666.0	super built up area 1666(154.78 sq.m.)	3	2	2	5.0	NaN	Moderately Old	1666.0	NaN	NaN	0	0	0	0	0
3816	flat	eldeco accolade	sohna	0.71	5607.0	1266.0	super built up area 1275(118.45 sq.m.)	2	2	3	10.0	North-East	Relatively New	1275.0	NaN	NaN	0	0	0	0	159
3817	flat	ramsons kshitij	sector 95	0.19	591.0	3215.0	carpet area: 3212 (298.4 sq.m.)	1	1	1	14.0	East	Relatively New	NaN	NaN	3212.0	0	0	0	2	49
3818	flat	m3m merlin	sector 67	4.50	14267.0	3154.0	super built up area 3154(293.02 sq.m.)	4	4	3+	15.0	South-West	Relatively New	3154.0	NaN	NaN	1	0	0	1	158
3819	flat	dlf new town heights	sector 90	1.54	6514.0	2364.0	super built up area 2364(219.62 sq.m.)built up area: 2200 sq.ft. (204.39 sq.m.)carpet area: 1850 sq.ft. (171.87 sq.m.)	4	4	3+	12.0	South-West	Moderately Old	2364.0	2200.0	1850.0	1	1	0	0	111
3821	flat	dlf regal gardens	sector 90	1.26	7403.0	1702.0	super built up area 1702(158.12 sq.m.)carpet area: 1500 sq.ft. (139.35 sq.m.)	3	3	3	6.0	North-East	Relatively New	1702.0	NaN	1500.0	0	0	1	1	28
3822	flat	unitech the residences	sector 33	1.55	9872.0	1570.0	super built up area 1570(145.86 sq.m.)	3	4	1	1.0	South	Relatively New	1570.0	NaN	NaN	1	0	0	0	37
3823	house	independent	sector 9	1.10	55000.0	200.0	plot area 200(18.58 sq.m.)	4	3	1	2.0	North-East	Old Property	NaN	200.0	NaN	0	0	0	0	0
3824	flat	shapoorji pallonji joyville gurugram	sector 102	1.95	10529.0	1852.0	super built up area 1852(172.06 sq.m.)	3	3	3	10.0	North-East	Relatively New	1852.0	NaN	NaN	0	0	0	0	59

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter